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SARS病毒S蛋白三维结构预测 被引量：2

Three dimensional structure prediction of SARS coronavirus S protein
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摘要 蛋白质结构类型识别方法可以在没有序列同源性的蛋白质之间检测有没有结构相似性。利用蛋白质结构类型识别方法预测了SARS病毒S蛋白N端区域的结构。模建的SARS病毒S蛋白N端区域是一个全折叠的结构。 Protein fold recognition method can detect similarities between protein structures in the absence of se-quence similarity.In this paper,we introduced the application of this method to predict the3D structure of n-ter-minal portion of SARS coronavirus S protein.In our model,the n-terminal portion of SARS coronavirus S protein is an all-beta protein with a single-stranded right-handed beta-helix fold.
作者 岳俊杰 汪莉 王月兰 李北平 梁龙 俞炜源 黄培堂
机构地区 军事医学科学院生物工程研究所
出处 《生物技术通讯》 CAS 2003年第5期399-400,共2页 Letters in Biotechnology
基金 全军医药卫生科研基金资助(03F015-1)
关键词 SARS病毒 S蛋白 结构预测 三维结构 SARS coronavirus spike protein structure prediction
分类号 Q939.4 [生物学—微生物学] R373.1 [医药卫生—病原生物学]
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参考文献10

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二级参考文献24

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共引文献6

同被引文献22

  • 1王家丽,李秀钧.肥胖与脂肪肝[J].医师进修杂志,2004,27(8):9-11. 被引量：6
  • 2陈坚梅,顾维正.肥胖与糖尿病[J].医师进修杂志,2004,27(8):11-13. 被引量：8
  • 3韩闯,杨盛昌.高通量筛选技术及其应用[J].生物技术通报,2005,21(2):22-25. 被引量：14
  • 4顾骏.医学信息学的研究现状及发展趋势[J].医学情报工作,2006,27(1):1-5. 被引量：8
  • 5毕华,岳俊杰,袁力勇,饶春明,陈惠鹏,王军志.睫状神经营养因子突变体的设计及活性分析[J].生物化学与生物物理进展,2007,34(4):408-411. 被引量：3
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引证文献2

二级引证文献2

生物技术通讯
2003年 第5期

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